Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/70454
| Title: | Enhancing spatio-temporal fusion of MODIS and landsat data by incorporating 250 m MODIS data | Authors: | Wang, QM Zhang, YH Onojeghuo, AO Zhu, XL Atkinson, PM |
Issue Date: | Sep-2017 | Source: | IEEE journal of selected topics in applied earth observations and remote sensing, 2017, v. 10, no. 9, special issue, p. 4116-4123 | Abstract: | Spatio-temporal fusion of MODIS and Landsat data aims to produce new data that have simultaneously the Landsat spatial resolution and MODIS temporal resolution. It is an ill-posed problem involving large uncertainty, especially for reproduction of abrupt changes and heterogeneous landscapes. In this paper, we proposed to incorporate the freely available 250 m MODIS images into spatio-temporal fusion to increase prediction accuracy. The 250 m MODIS bands 1 and 2 are fused with 500 m MODIS bands 3-7 using the advanced area-to-point regression kriging approach. Based on a standard spatio-temporal fusion approach, the interim 250 m fused MODIS data are then downscaled to 30 m with the aid of the available 30 m Landsat data on temporally close days. The 250 m data can provide more information for the abrupt changes and heterogeneous landscapes than the original 500 m MODIS data, thus increasing the accuracy of spatio-temporal fusion predictions. The effectiveness of the proposed scheme was demonstrated using two datasets. | Keywords: | Downscaling Geostatistics Image fusion Landsat MODIS Spatio-temporal fusion |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE journal of selected topics in applied earth observations and remote sensing | ISSN: | 1939-1404 | EISSN: | 2151-1535 | DOI: | 10.1109/JSTARS.2017.2701643 | Rights: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Q. Wang, Y. Zhang, A. O. Onojeghuo, X. Zhu and P. M. Atkinson, "Enhancing Spatio-Temporal Fusion of MODIS and Landsat Data by Incorporating 250 m MODIS Data," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 9, pp. 4116-4123, Sept. 2017 is available at https://dx.doi.org/10.1109/JSTARS.2017.2701643. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wang_MODIS_Landsat_250m.pdf | Pre-Published version | 1.4 MB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
90
Last Week
2
2
Last month
Citations as of Nov 22, 2023
Downloads
49
Citations as of Nov 22, 2023
SCOPUSTM
Citations
43
Last Week
0
0
Last month
Citations as of Nov 23, 2023
WEB OF SCIENCETM
Citations
35
Last Week
0
0
Last month
Citations as of Nov 30, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.